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    526 Mueggelsee phytoplankton

    DOI Info:

    • DOI:10.18728/526.0
    • Citation suggestion: Daniel Langenhaun, AG Adrian - (dep. 2) - Langzeitentwicklung von Seen und Klimafolgenforschung (2019-12-12 ) Mueggelsee phytoplankton. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/526.0
    • FRED-datapackage: 3
    Title
    Mueggelsee phytoplankton
    Period
    1979-03-01 ongoing
    Sampling interval
    Irregular Interval
    Study site
    Müggelsee
    Sampling types
    Phytoplankton
    Sampling sites
    Müggelsee M5
    location
    52.443501, 13.652367
    location
    type
    lake
    state
    code
    M5
    description
    Müggelsee M7
    location
    52.434983, 13.658983
    location
    code
    M7
    description

    Deepest point in Müggelsee

    Müggelsee M3
    location
    52.438467, 13.670283
    location
    code
    M3
    description
    Müggelsee MS1
    location
    52.427233, 13.643883
    location
    code
    MS1 eis
    description

    Müggelsee sampling during ice covered periods.

    Müggelsee M10
    location
    52.431783, 13.632783
    location
    code
    M10
    description
    Müggelsee M8
    location
    52.442350, 13.635483
    location
    code
    M8
    description
    Parameters

    biology:

    biomass
    name
    biomass
    description

    Plankton biomass
    biovolume
    name
    biovolume
    Contact
    Rita Adrian
    Licence for data
    All rights reserved. Please send a request to Rita Adrian if you like to use this data. Mind our data policy: Lakebase Data Policy

    Metadata files

    TitelUpload dateFiletypeLicenceActions
    Metadata_Phytoplankton_Müggelsee.pdf05. Dec. 2017 10:20.pdfODC-By Download
    General_MetadataMueggelsee_phytoplankton.xml24. Oct. 2020 14:11xmlODC-By Download
    General_MetadataMueggelsee_phytoplankton.eml24. Oct. 2020 14:11emlODC-By Download

    Data files (excel)

    TitelCreateFiletypeActions
    ms_phytoplankton_long_table.xlsx 09. Aug. 2019 13:44 datatable: .xlsx
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    Parsing data File

    Estimated Time:

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    While parsing a file, the database has to perform various tasks, some of them needs a lot of CPU and memory for larger files.

    • preprocessing: means automatic detection of headlines, table body, format values or csv-separators
    • copying: means read the file cell by cell and copy all elements to the database. During this format settings can be calculated (for example iso-time)
    • analyzing: check out for different data types (can be time, numeric or text)